Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and data preprocessing. If you''ve ever built a predictive model, worked on a ...

In a collaboration between several labs at UNC Lineberger, researchers have defined cancer-associated fibroblast (CAF) subtypes that are clinically robust, prognostic, and predictive of immunotherapy ...

Why it matters: When jurors in Los Angeles walk into a courtroom this week, they'll confront a question technology companies have long sidestepped: can a line of code, an algorithmic feed, or a design ...

Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...

Launched last year, social media platform UpScrolled has already amassed millions of global downloads. Today, the app sits at the top of several app store rankings in multiple countries, including the ...

Nearly every music streaming platform increasingly relies on artificial intelligence-driven algorithms. School of Media Arts and Studies Director Josh Antonuccio discusses AI's role in the age of ...

Big Tech is taking on record levels of debt, marking a new chapter in the artificial intelligence boom as names like Oracle, Alphabet and Meta pour big money into massive data centers and the energy ...

Cloudera, the only company bringing AI to data anywhere, is expanding Cloudera AI Inference and Cloudera Data Warehouse with Trino to on-premises environments, enabling customers to harness advanced ...